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Graduation Finance Platform

Unified FastAPI portal for:

  • Quant stock selection for STAR Market
  • Stock prediction service rebuilt from 6main_clean.py
  • Built-in AI finance assistant

Run

  1. Activate the existing conda environment:
conda activate finance
  1. Copy .env.example to .env and fill:
  • MYSQL_HOST
  • MYSQL_USER
  • MYSQL_PASSWORD
  • MYSQL_DB
  • TUSHARE_TOKEN
  • ZHIPU_API_KEY if LLM fallback chat is needed
  • MODEL_NAME if a non-default LLM model is used
  1. Create the database:
CREATE DATABASE graduation_finance DEFAULT CHARACTER SET utf8mb4;
  1. Start the app:
uvicorn app.main:app --host 127.0.0.1 --port 8001 --reload

Only the main platform service is required.

Pages

  • /
  • /quant
  • /predictor
  • /assistant

Current status

  • Portal and routing are ready.
  • Quant module has STAR Market sync, factor calculation, scoring, model training, and prediction workflow.
  • Predictor service and page are available.
  • AI assistant is built into the main FastAPI app and uses /api/assistant/... APIs.
  • AI assistant is served by the main platform.

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